جست‌وجوی استاد و پژوهشگر

Alexander Lincoln Readمشاهده پروفایل

استاد

• Precision Higgs boson measurements
• Dark Matter detection
• Statistical analysis in particle physics
• +۳ مورد دیگر

Alexander Lincoln Read is a Professor at the University of Oslo's High Energy Physics department, specializing in precision measurements of the Higgs boson through the ATLAS experiment at CERN. His research bridges particle physics and advanced statistical/data analysis methods. Education: BS (1981, University of Illinois) | PhD (1986, University of Colorado) Employment: NAVF Scientific Assistant (1986-89) | CERN Scientific Associate (1989-91) | Professor (1993-present) Research Focus: Higgs boson properties, Dark Matter connections, CLs statistical technique, Compressed Sensing, Gaussian Processes, and Machine Learning applications in particle physics. Scientific Contributions: Key role in Higgs boson discovery (2012), development of the CLs method, and detector calibration innovations. Scientific awards: CLs technique creator | Higgs discovery contributor Projects: ATLAS experiment, NorLHC (extreme collision rates), Insights ITN (statistics network), Strategic Dark Matter Initiative.

Geir Kjetil Ferkingstad Sandveمشاهده پروفایل

استاد

• Machine Learning
• Bioinformatics
• Immunology
• +۳ مورد دیگر

Geir Kjetil Ferkingstad Sandve is a Professor at the Biomedical Informatics Research Group within the Department of Informatics (UiO), University of Oslo, specializing in machine learning methodology for biomedical applications. His research focuses on Generalization in machine learning models Exploiting mechanistic/causal domain relations Software platforms for domain-adapted ML Multiple-instance learning techniques Historical work in statistical genome analysis and motif discovery His recent publications (2022-2025) demonstrate expertise in Adaptive immune receptor repertoire analysis Antibody-antigen interaction prediction Proteome scoring systems for celiac disease Causal modeling in biomarker generalization Multi-modal single-cell data integration Synthetic dataset generation for immunology He leads a computational research group prioritizing Reproducible codebases and software development Competence-building through strategic research Interdisciplinary collaboration with biomedical teams Training in algorithmic challenges and software design

Johan Gustav Bellikaمشاهده پروفایل

استاد

• Medical Informatics
• Privacy-Preserving Data Reuse
• Learning Healthcare Systems
• +۸ مورد دیگر

Johan Gustav Bellika is a Professor of Medical Informatics at the Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, and serves as Chief Research Informatics Officer (CRIO) for PraksisNett, a national research infrastructure for primary health care. He has worked at the National Center for e-Health Research at the University Hospital of North Norway since 1997. Master’s (1997) and PhD (2006) in Informatics from UiT Research focus: Privacy-preserving health data reuse and learning healthcare systems Contributed to >100 scientific publications Supervision of Master’s, PhD, and postdocs His work spans health data security , ontology-based terminologies , e-health modernization , and federated learning . Key projects include DigSam (digital security), PraksisNett (primary care research infrastructure), and ASCLEPIOS (secure cloud solutions). Articles highlight expertise in distributed health analytics , patient confidentiality , and clinical decision support systems . Scientific contributions include: Advancing privacy-preserving statistical computation with Statistics Norway Implementing SNOMED CT standardization Developing secure platforms for health data analysis

Dolores Modicمشاهده پروفایل

پژوهشگر

• Technology Transfer
• Intellectual Property Rights (IPR)
• University-Industry Collaboration
• +۲ مورد دیگر

Dolores Modic is a researcher at the Division of Innovation and Entrepreneurship at Nord University. Her primary research interests include technology transfer, intellectual property rights (IPR) management, university-industry collaboration, patent informatics, and circular economy. She has led numerous projects sponsored by funding agencies across Europe, USA, and Asia, serving as a project author, PI, team member, and coordinator. Her work focuses on understanding complex systems in innovation, particularly in circular economy and data-driven IPR management. She contributes to the field through interdisciplinary collaboration and international team coordination. Scientific Awards: JSPS Fellow in Japan (2016-2018) Fulbright Scholar in U.S.A. (2015) She actively participates in projects involving public procurement, patent data, and innovation ecosystems, with recent publications in journals like Environmental Technology & Innovation, IEEE Transactions on Engineering Management, and Research Policy.

Anita Torabiمشاهده پروفایل

استاد

• Structural Geology
• Fault Mechanics
• Fluid Flow in Deformed Reservoirs
• +۶ مورد دیگر

Anita Torabi is a Professor in Structural Geology at the University of Oslo , affiliated with the Department of Geosciences. Her research focuses on structural geology, fault mechanics, fluid flow in deformed reservoirs, CO2 storage, geothermal reservoirs, and seismicity. She employs advanced methods such as 3D seismic analysis, fault asperity studies, and machine learning for geological applications. Key affiliations: University of Oslo, NORCE (2015-2018), Uni Research CIPR (2008-2018) Education: PhD in Geosciences (2008) - University of Bergen Research Interests include: Fault mechanics and deformation processes Fluid flow in faulted reservoirs CO2 storage and green energy solutions Geomechanics and seismic risk assessment Machine learning in structural geology Basement rock fracture analysis Recent Publications highlight trends in: 3D fault characterization using deep learning Fluid dynamics in siliciclastic-carbonate systems Seismic attribute analysis for fault geometry Compaction bands in Tertiary-Quaternary sequences Ontology-driven geological modeling Machine learning applications for CO2 storage Research Leadership includes projects such as: CO2 Seal and Bypass – COPASS CO2SafeQuest (fault behavior for CO2 storage) gigaCCS@UiO (Center of Excellence in Carbon Capture) VICCO (volcanic-sedimentary CO2 storage) Pool Studies CO2 Storage research group

• Bioinformatics
• Genomics
• Computational Biology
• +۴ مورد دیگر

Dr. Alexander Johan Nederbragt ("Lex Nederbragt") is a Senior Lecturer at the University of Oslo's Faculty of Mathematics and Natural Sciences, affiliated with the Centre for Ecological and Evolutionary Synthesis (CEES) and former member of the Centre for Computational Inference in Evolutionary Life Science (CELS). He leads the "Computing in Science Education" initiative within the Bioscience bachelor's program, developing courses like BIOS1100 that integrate Python programming with biological modeling. His educational philosophy emphasizes reverse instructional design and constructive alignment, with a focus on student-active learning and AI-driven pedagogical innovation. Researchwise, Nederbragt specializes in Bioinformatics and Genomics , particularly Evolutionary genomics of fish (Atlantic cod, haddock, grayling) Graph-based reference genome methodologies Genomic repeat element analysis Horizontal gene transfer in diatoms Computational microbiome studies His work spans comparative genomics, genome assembly validation, and bioinformatics software development (NucDiff, NucBreak). Scientific contributions reveal expertise in High-throughput sequencing Genomic architecture Evolutionary adaptation Computational methods Publication trends from 2012-2023 His research frequently intersects with ecological and evolutionary questions, particularly in teleost fishes. Scientific Awards Merittert Utdanner (Excellent Teaching Practitioner), University of Oslo (2023) Olav Thon Foundation National Award for Excellence in Teaching (2025)

Ane Kristine Espesethمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Science
• Artificial Intelligence
• Large Language Models
• +۳ مورد دیگر

Ane Kristine Espeseth is a Research Fellow at the Center for Computing in Science Education (CCSE), University of Oslo, where she conducts doctoral research at the intersection of cognitive science and artificial intelligence. Her work focuses on developing interpretation frameworks for large language models to understand cognitive processes in both biological and artificial systems, while actively serving as student representative for the International Society for Artificial Life. Her academic foundation includes: Bachelor of Arts (Honours) in Computer Science from the University of Cambridge, United Kingdom Master of Science in Cognitive Science from Seoul National University, South Korea Dr. Espeseth's research employs concept-based and mechanistic approaches—including contextual embeddings and neural circuit analysis—to decode how large language models process information, drawing parallels between artificial systems and human cognition. Her methodology spans language acquisition modeling in children, evolutionary algorithms for socially adaptive chatbots, bio-inspired computing paradigms, and abstract mathematics, reflecting a deeply interdisciplinary approach to cognitive-AI convergence. Her scientific recognition features: First place at the European Contest for Young Scientists (2016) She maintains active research collaborations through the Human Factors Lab and BioIntelligence Lab at Seoul National University, while currently advancing computational science education initiatives at the University of Oslo's CCSE, where she also instructs HON2200 – Data-driven projects for the spring 2025 semester.

• Biostatistics
• Clinical Epidemiology
• Physiotherapy
• +۶ مورد دیگر

Are Hugo Pripp is a Professor at the Faculty of Health Sciences , Oslo Metropolitan University. His academic focus spans biostatistics, clinical epidemiology, physiotherapy, neurology, and gastroenterology. Fields of Interest: Biostatistics, Clinical Epidemiology, Physiotherapy, Neurology, Gastroenterology, Respiratory Diseases Research Trends from recent publications include: development of medical prediction models, digital health interventions for cardiac rehabilitation, diagnostic accuracy in musculoskeletal injuries, and longitudinal studies on maternal and neonatal care in Palestine. He also contributes to fall prevention programs, fetal monitoring protocols, and rare disease research in hereditary connective tissue disorders. Email: are-hugo.pripp@oslomet.no

• Autonomous Systems
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Muhammad Adnan serves as a Research Fellow at the Department of Technology and Safety, UiT The Arctic University of Norway, with contact details including email muhammad.adnan@uit.no and phone +47 77 66 02 47. His research spans critical domains in modern engineering and computer science, with primary focus areas: Autonomous Maritime Systems : Developing operational frameworks for remotely controlled vessels and onshore operation centers Machine Learning Applications : Advancing ensemble methods for classification, spam detection, and remote sensing Computer Vision Integration : Leveraging electro-optical/NIR sensors for maritime object detection Cybersecurity Solutions : Enhancing email security through stacking ensemble techniques Recent publications (2023-2024) reveal a concentrated research trajectory merging maritime autonomy with AI-driven solutions, demonstrating significant interdisciplinary work across navigation support systems, sensor fusion, and transfer learning applications. His output shows consistent publication in high-impact journals with practical engineering implementations. No scientific awards were documented in the provided materials. Information regarding student supervision, grant funding, or laboratory affiliations was not available in the source text.

Marianne Ødegaardمشاهده پروفایل

استاد

• Science Education
• Inquiry-Based Teaching
• Teacher Education
• +۳ مورد دیگر

Marianne Ødegaard is a Professor at the Department of Teacher Education and School Research , University of Oslo. Her research focuses on science education , particularly inquiry-based teaching , drama integration , and sustainability education . She has led significant projects like the TEDS-instruct instrument validation and COSER (Challenges of Sustainability in Educational Research), working extensively in Norwegian primary/lower-secondary schools and international contexts including Tanzania. Key Research Areas : Science teacher education, inquiry pedagogy, drama-based instruction, literacy integration, educational equity Methodology : Video-based classroom studies, textbook analysis, cross-cultural comparative research Publications Trend : Recent work explores teaching quality instruments (2025), textbook constraints (2024), and drama for sustainability (2023). She frequently examines how inquiry practices and language policies affect science learning in diverse educational settings. Projects : Currently involved in the ETOS (Bilingual Education Evaluation) and LISE (Instruction-Student Experience Linking) initiatives, with completed work on REDE (Representation/Participation in Science) and PISA+ (Longitudinal Science Teaching Study).

Sverre Tveitمشاهده پروفایل

دانشیار

• Educational Assessment
• Grading Policy
• Didactics
• +۴ مورد دیگر

Sverre Tveit is an Associate Professor at the University of Agder , affiliated with the Department of Education . His work focuses on educational assessment , grading policies , and didactic reform in Nordic contexts. Researches national testing and exam legitimacy in Norway and Sweden Collaborated on the Nordic Education Model book series Contributed to debates on formal grading resistance and assessment cultures His publications analyze the evolution of educational measurement , pandemic-induced grading paradoxes , and teacher-assigned grades in outcome-based frameworks. Collaborations include scholars like Christian Lundahl, Henning Fjørtoft, and Elisabeth Hovdhaugen. Contact: sverre.tveit@uia.no

Synnøve Magnussenمشاهده پروفایل

پژوهشگر

• Oral Squamous Cell Carcinoma
• Plasminogen Activation System
• Tumor Microenvironment
• +۴ مورد دیگر

Synnøve Magnussen is affiliated with the Faculty of Health Sciences, focusing on cancer biology and tumor progression. Her research spans oral squamous cell carcinoma, the plasminogen activation system, nephronectin’s role in cancer, and immunogenic cell death mechanisms. Key Research Areas: Cancer biomarkers, tumor microenvironment, metastasis, marine-derived therapeutics. Notable Work: Investigated uPAR/PAI-1 in oral cancer progression; characterized nephronectin’s integrin-binding domains in breast cancer brain metastasis. Publications: Recent studies explore marine mimics for cytotoxicity (2023), tumor immune microenvironment dynamics (2024), and DAMP-inducing compounds (2022). Academic Contributions: Collaborated on validating prognostic markers (2021) and hypoxia-driven vascular permeability (2022).

Susannah von Hofstenمشاهده پروفایل

پژوهشگر

• Cancer Research
• Immunotherapy
• Marine-Derived Anticancer Compounds
• +۳ مورد دیگر

Susannah von Hofsten is a researcher affiliated with the Faculty of Health Sciences at UiT The Arctic University of Norway. Her work focuses on cancer therapy, immunogenic cell death, and marine-derived compounds as potential treatments. PhD in Health Sciences (2023, UiT) Her research explores mechanisms of drug resistance, toll-like receptor-driven autoimmune diseases, and targeted drug delivery systems. Publications include studies on amphipathic barbiturates, pH-responsive liposomes, and marine natural product mimics. Recent trends in her work emphasize immunogenicity of cancer therapies, DAMP release, and translational applications of marine compounds in oncology. Collaborations span pharmacology, immunology, and biomedical engineering. Further studies involve T-cell expansion protocols for fetal/neonatal alloimmune thrombocytopenia and comparative analysis of protease inhibitors for cancer and bacterial targets.

• Arctic Ecology
• Population Dynamics
• Ecosystem Management
• +۳ مورد دیگر

Rolf Anker Ims is a Professor of Ecology at the Department of Arctic and Marine Biology, UiT The Arctic University of Norway. He serves as Head of the Climate-ecological Observatory for Arctic Tundra (COAT) , focusing on population, community, and ecosystem dynamics in boreal and Arctic environments. His work emphasizes climate change impacts, adaptive monitoring systems, and food web interactions. Current Research : Arctic-alpine small mammal population dynamics Camera trap methodology for ecological monitoring Predator-prey interactions in cyclic systems Climate change effects on tundra ecosystems Adaptive ecosystem management frameworks Recent Trends : Developing semi-automated image analysis workflows Studying interspecific competition in Arctic foxes Examining parasite dynamics in Svalbard Modeling multi-scale predator-prey systems Collaborations : Leads the COAT program while collaborating with international researchers across institutions like Norwegian Scientific Committee for Food and Environment, and participating in multidisciplinary projects including ECOGEN research group and Arctic Future Pathfinders educational initiatives.

• Finance
• Economics
• Data Analysis
• +۲ مورد دیگر

Espen Sirnes is an Associate Professor at the School of Business, UiT The Arctic University of Norway in Tromsø. His primary research focuses on financial markets, economic analysis, and quantitative finance methodologies. His research interests span market volatility modeling, financial risk assessment, transaction cost analysis, and the economic impacts of significant events like the COVID-19 pandemic. He employs data-driven approaches to examine market microstructure, trading behaviors, and economic policy implications. Sirnes actively contributes to public discourse through media commentary on topics including cryptocurrency regulation, housing markets, oil fund management, and regional economic development in Northern Norway. He is affiliated with The Centre for Economic Research (CER) research group.